Model-based channel estimator for correlated fading channels and channel estimation method thereof
First Claim
1. A model-based channel estimator for correlated fading channels adapted to a multiple-input multiple-output (MIMO) system having a transmit antenna array and a receive antenna array, said channel estimator comprising:
- an estimator of channel parameters that estimates a coefficient vector of a channel matrix for a given angle of departure (AoD) according to a plurality of received signals, a plurality of transmit pilots, a plurality of known model orders for a derived channel model, and a plurality of predetermined bases for exploiting time channel correlation, frequency channel correlation, spatial channel correlation among said transmit antenna array, and spatial channel correlation among said receive antenna array, then estimates a mean AoD based on the estimated channel matrix, wherein, said estimator of channel parameters estimates iteratively said coefficient vector and said mean AoD until a stop criterion is met; and
an estimate reconstruction unit that reconstructs a channel estimate, by using said plurality of predetermined bases, said coefficient vector, and the mean AoD.
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Abstract
A model-based channel estimator for correlated fading channels adapted to a multiple-input multiple-output (MIMO) system, estimates a coefficient vector of a channel matrix for a given angle of departure (AoD) according to a plurality of received signals, a plurality of transmit pilots, a plurality of known model orders, and a plurality of predetermined bases for exploiting time, frequency, spatial channel correlation among a transmit antenna array, and spatial channel correlation among a receive antenna array, then estimates a mean AoD based on the estimated channel matrix. The channel estimator estimates iteratively the coefficient vector and the mean AoD until a stop criterion is met. Then, it reconstructs a channel estimate by using the plurality of predetermined bases, the coefficient vector, and the mean AoD.
13 Citations
18 Claims
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1. A model-based channel estimator for correlated fading channels adapted to a multiple-input multiple-output (MIMO) system having a transmit antenna array and a receive antenna array, said channel estimator comprising:
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an estimator of channel parameters that estimates a coefficient vector of a channel matrix for a given angle of departure (AoD) according to a plurality of received signals, a plurality of transmit pilots, a plurality of known model orders for a derived channel model, and a plurality of predetermined bases for exploiting time channel correlation, frequency channel correlation, spatial channel correlation among said transmit antenna array, and spatial channel correlation among said receive antenna array, then estimates a mean AoD based on the estimated channel matrix, wherein, said estimator of channel parameters estimates iteratively said coefficient vector and said mean AoD until a stop criterion is met; and an estimate reconstruction unit that reconstructs a channel estimate, by using said plurality of predetermined bases, said coefficient vector, and the mean AoD. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A model-based channel estimation method for correlated fading channels adapted to a multiple-input multiple-output (MIMO) system having a transmit antenna array and a receive antenna array, said method comprising:
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using a model order estimator to determine a plurality of model orders denoted by KL, KF, KT, KR, for a derived channel model by an estimation algorithm; using a channel parameter estimator to perform an estimation for a coefficient vector Ccoef of a channel matrix and an estimation for an angle of departure (AoD) according to a plurality of signals received in said receive antenna array of said MIMO system by using an iterative scheme, and stopping iterations when a criterion is satisfied; and using an estimate reconstruction unit to reconstruct a full dimension channel estimate HL by using the estimated channel coefficient vector Ccoef, a plurality of predetermined basis matrices denoted by QL,K L , QF,KF , QR,KR , and {tilde over (Q)}T,KT containing both basis matrix QT,KT and the AoD;wherein said derived channel model is derived by predetermining said plurality of basis matrices QL,K L , QF,KF , QT,KT and QR,KR for exploiting time channel correlation, frequency channel correlation, spatial channel correlation among said transmit antenna array, and spatial channel correlation among said receive antenna array, respectively. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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16. A receiver end having a codebook selector, said receiver end being adapted to a multiple-input multiple-output (MIMO) system having a transmit antenna array and a receive antenna array, and comprising:
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a model order estimator that estimates a plurality of model orders; a model-based channel estimator that estimates a coefficient vector of a channel matrix for a given angle of departure (AoD) according to a plurality of received signals, a plurality of transmit pilots, said plurality of model orders for a derived channel model, and a plurality of predetermined bases for exploiting time channel correlation, frequency channel correlation, spatial channel correlation among said transmit antenna array, and spatial channel correlation among said receive antenna array, then estimates a mean AoD based on the estimated channel matrix, wherein, said estimator of channel parameters estimates iteratively said coefficient vector and said mean AoD until a stop criterion is met, when said stop criterion is met, said model-based channel estimator reconstructs a channel estimate by using said plurality of predetermined bases, said coefficient vector, and the mean AoD. - View Dependent Claims (17, 18)
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Specification